Pytest-Kubernetes

Pytest-kubernetes is a powerful plugin for the pytest framework specifically designed for testing applications in Kubernetes environments. Try it out!

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What is Pytest-Kubernetes?

pytest-kubernetes is a powerful plugin for the pytest framework that has been specially developed for testing applications in Kubernetes environments. It enables developers and DevOps teams to integrate their Kubernetes deployments directly into their test suites, creating a seamless integration between code tests and infrastructure tests.

The plugin provides various fixtures and helper functions that allow Kubernetes resources such as pods, services, deployments and ConfigMaps to be programmatically created, managed and tested. This allows developers to ensure that their applications not only work in isolation, but also function correctly in a real Kubernetes environment.

What are the advantages of Pytest Kubernetes?

A key advantage of pytest-kubernetes is its ability to create temporary Kubernetes resources for tests and automatically clean them up after the tests have been completed. This ensures that tests can be executed independently of each other and that no side effects occur between different test runs.

The plugin supports both local Kubernetes clusters (such as minikube or kind) and cloud-based clusters. It provides fixtures for accessing the Kubernetes client, loading YAML manifests and monitoring the status of Kubernetes resources. For example, developers can test whether their application starts correctly, whether all required services are accessible and whether the application reacts appropriately to various Kubernetes events.

pytest-kubernetes is particularly useful for end-to-end tests, integration tests and chaos engineering scenarios. It makes it possible to create complex test scenarios that check the behaviour of the application under various conditions, such as the failure of individual pods or network problems.

Integration into existing CI/CD pipelines is also an important aspect of the plugin. It can be seamlessly integrated into automated build and deployment processes, enabling continuous testing of the Kubernetes infrastructure.

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The foundation for any web project is a solid infrastructure. It ensures that the application runs stably and can process the requests that arise. A good infrastructure automatically scales the performance needed for the current task. What used to be a Herculean task is many times easier in times of cloud infrastructure.

Own physical server facilities are no longer needed today. But simply cloud will not suffice as an answer. Modern services like Docker and Kubernetes are needed to control and develop applications efficiently.

We rely on cloud native development based on Kubernetes and Docker and are more than happy with it.

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